Currency weighted cross border listing exposure

Abstract

A method and a system for currency weighted cross border listing exposure utilize a favorability factor that may be determined between a first and a second currency. A search may be executed that returns listings in both currencies. A subset of those listings in the second currency may then be presented in accordance with the favorability factor.

1 . (canceled) 
     
     
         2 . A system comprising:
 A currency exchange rate evaluation module (CEREM) including a hardware element, the CEREM configured to:
 identify a first plurality of item transactions in a first currency for a first plurality of purchasers; 
 identify a second plurality of item transactions in a second currency for a second plurality of purchasers, the second currency being different than the first currency, the second plurality of purchasers being a subset of the first plurality of purchasers with each member corresponding to at least one of the first plurality of item transactions; and 
 compare use of the second currency to use of the first currency by the second plurality of purchasers to determine a favorability factor between the first currency and the second currency. 
   
     
     
         3 . The system of  claim 2 , wherein the item transactions are within a single network-based marketplace. 
     
     
         4 . The system of  claim 3 , wherein the network-based marketplace includes a plurality of sites, each site including a default currency. 
     
     
         5 . The system of  claim 4 , wherein the first currency is a default currency for a first site in the plurality of sites and the first plurality of purchasers is identified by association with the first site. 
     
     
         6 . The system of  claim 5 , wherein the second currency is a default currency for a second site in the plurality of sites, the second site being different than the first site. 
     
     
         7 . The system of  claim 2 , wherein the favorability factor is a discrete classification of the first currency in relation to the second currency. 
     
     
         8 . The system of  claim 7 , wherein the discrete classification is at least one of strongly favorable, favorable, neutral, unfavorable, and strongly unfavorable. 
     
     
         9 . A non-transitory machine-readable medium including instructions that, when executed by a machine, cause the machine to perform operations comprising:
 identifying a first plurality of item transactions in a first currency for a first plurality of purchasers;   identifying a second plurality of item transactions in a second currency for a second plurality of purchasers, the second currency being different than the first currency, the second plurality of purchasers being a subset of the first plurality of purchasers with each member corresponding to at least one of the first plurality of item transactions; and   comparing use of the second currency to use of the first currency by the second plurality of purchasers to determine a favorability factor between the first currency and the second currency.   
     
     
         10 . The machine-readable medium of  claim 9 , wherein the item transactions are within a single network-based marketplace. 
     
     
         11 . The machine-readable medium of  claim 10 , wherein the network-based marketplace includes a plurality of sites, each site including a default currency. 
     
     
         12 . The machine-readable medium of  claim 11 , wherein the first currency is a default currency for a first site in the plurality of sites and the first plurality of purchasers is identified by association with the first site. 
     
     
         13 . The machine-readable medium of  claim 12 , wherein the second currency is a default currency for a second site in the plurality of sites, the second site being different than the first site. 
     
     
         14 . The machine-readable medium of  claim 9 , wherein the favorability factor is a discrete classification of the first currency in relation to the second currency. 
     
     
         15 . The machine-readable medium of  claim 14 , wherein the discrete classification is at least one of strongly favorable, favorable, neutral, unfavorable, and strongly unfavorable. 
     
     
         16 . A method comprising:
 identifying a first plurality of item transactions in a first currency for a first plurality of purchasers;   identifying a second plurality of item transactions in a second currency for a second plurality of purchasers, the second currency being different than the first currency, the second plurality of purchasers being a subset of the first plurality of purchasers with each member corresponding to at least one of the first plurality of item transactions; and   comparing use of the second currency to use of the first currency by the second plurality of purchasers to determine a favorability factor between the first currency and the second currency.   
     
     
         17 . The method of  claim 16 , wherein the item transactions are within a single network-based marketplace. 
     
     
         18 . The method of  claim 17 , wherein the network-based marketplace includes a plurality of sites, each site including a default currency. 
     
     
         19 . The method of  claim 18 , wherein the first currency is a default currency for a first site in the plurality of sites and the first plurality of purchasers is identified by association with the first site. 
     
     
         20 . The method of  claim 19 , wherein the second currency is a default currency for a second site in the plurality of sites, the second site being different than the first site. 
     
     
         21 . The method of  claim 16 , wherein the favorability factor is a discrete classification of the first currency in relation to the second currency.